Abstract

Chaotic laser radar based on correlation detection is a high-resolution
measurement tool for remotely monitoring targets or objects. However, its effective
range is often limited by the side-lobe noise of correlation trace, which is always
increased by the randomness of the chaotic signal itself and other transmission
channel noises or interferences. The experimental result indicates that the wavelet
denoising method can recover the real chaotic lidar signal in strong period noise
disturbance, and a signal-to-noise ratio of about 8 dB is increased. Moreover, the
correlation average discrete-component elimination algorithm significantly
suppresses the side-lobe noise of the correlation trace when 20 dB of chaotic noise
is embedded into the chaotic probe signal. Both methods have advantages and
disadvantages.